ArticlePLoS biology2019
Inferring the distribution of fitness effects of spontaneous mutations in Chlamydomonas reinhardtii.
Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
32 citing papers in PubMed, 64 citations in OpenAlex.
- High Rate of Mutation and Efficient Removal by Selection of Structural Variants From Natural Populations of Caenorhabditis Elegans.Genome biology and evolution · 2026Article
- Stabilizing and directional selection shape the genetic variation of gene expression in the transcriptome of Chlamydomonas.Molecular biology and evolution · 2026Article
- Adaptive tracking with antagonistic pleiotropy results in seemingly neutral molecular evolution.Nature ecology & evolution · 2025Article
- Estimating the Distribution of Fitness Effects in Aye-Ayes (Daubentonia madagascariensis), Accounting for Population History as Well as Mutation and Recombination Rate Heterogeneity.American journal of primatology · 2025Article
- Scaling the fitness effects of mutations with respect to differentially adapted Arabidopsis thaliana accessions under natural conditions.Evolution; international journal of organic evolution · 2025Article
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- Spontaneous single-nucleotide substitutions and microsatellite mutations have distinct distributions of fitness effects.PLoS biology · 2024Article
- The distribution of beneficial mutational effects between two sister yeast species poorly explains natural outcomes of vineyard adaptation.bioRxiv : the preprint server for biology · 2024Article
- Mutations in yeast are deleterious on average regardless of the degree of adaptation to the testing environment.Proceedings. Biological sciences · 2024Article
- The Effects of De Novo Mutation on Gene Expression and the Consequences for Fitness in Chlamydomonas reinhardtii.Molecular biology and evolution · 2024Article
- Gene birth in a model of non-genic adaptation.BMC biology · 2023Article
- Phenotype Design Space Provides a Mechanistic Framework Relating Molecular Parameters to Phenotype Diversity Available for Selection.Journal of molecular evolution · 2023Article
- Inferring the distributions of fitness effects and proportions of strongly deleterious mutations.G3 (Bethesda, Md.) · 2023Article
- Distribution of fitness effects of cross-species transformation reveals potential for fast adaptive evolution.The ISME journal · 2023Article
- Are mutations usually deleterious? A perspective on the fitness effects of mutation accumulation.Evolutionary ecology · 2022Article
- Selection in a growing colony biases results of mutation accumulation experiments.Scientific reports · 2022Article
- The distribution of fitness effects of spontaneous mutations in Chlamydomonas reinhardtii inferred using frequency changes under experimental evolution.PLoS genetics · 2022Article
- Recommendations for improving statistical inference in population genomics.PLoS biology · 2022Article
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Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
Spontaneous mutations are the source of new genetic variation and are thus central to the evolutionary process. In molecular evolution and quantitative genetics, the nature of genetic variation depends critically on the distribution of effects of mutations on fitness and other quantitative traits. Spontaneous mutation accumulation (MA) experiments have been the principal approach for investigating the overall rate of occurrence and cumulative effect of mutations but have not allowed the phenotypic effects of individual mutations to be studied directly. Here, we crossed MA lines of the green alga Chlamydomonas reinhardtii with its unmutated ancestral strain to create haploid recombinant lines, each carrying an average of 50% of the accumulated mutations in a large number of combinations. With the aid of the genome sequences of the MA lines, we inferred the genotypes of the mutations, assayed their growth rate as a measure of fitness, and inferred the distribution of fitness effects (DFE) using a Bayesian mixture model. We infer that the DFE is highly leptokurtic (L-shaped). Of mutations with absolute fitness effects exceeding 1%, about one-sixth increase fitness in the laboratory environment. The inferred distribution of effects for deleterious mutations is consistent with a strong role for nearly neutral evolution. Specifically, such a distribution predicts that nucleotide variation and genetic variation for quantitative traits will be insensitive to change in the effective population size.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.